QA Jobs in Concord, CA

The Associate GCP/GLP QA Director drives consistency in QA systems for clinical trials, manages metrics, and collaborates with teams on compliance and audit findings, ensuring quality in clinical operations.

As a Senior Quality Assurance Engineer at Penumbra, you'll ensure product quality and compliance, mentor junior engineers, and improve quality systems through problem-solving.

Manage quality operations, ensure compliance with regulations, drive continuous improvements, oversee inspections, and develop team members in a medical device or pharmaceutical environment.

The Associate Director is responsible for implementing the Computer Systems and Data Integrity program, ensuring compliance with cGxP regulations and providing oversight for Computer System Validation (CSV). They manage risk assessments, cross-functional communication, and training while ensuring global compliance standards are met.

As Head of Engineering, QA, lead the QA strategy, build automation, ensure reliability, and grow a high-performing QA team in an AI healthcare startup.

The Quality Assurance Operations Specialist supports QA for cell therapy manufacturing, focusing on compliance, documentation, and continuous improvement in a fast-paced environment.

Lead QA efforts leveraging AI technologies to modernize testing processes, ensuring thorough coverage and high-quality releases across various projects.

The QA Automation Engineer will focus on automation using Selenium, integrate APIs, and work with SQL and No-SQL databases.

The QA Engineer will develop and execute test plans and cases, perform various types of testing, manage defects, and implement effective testing practices.

Drive test automation architecture for mobile apps, establish frameworks, ensure quality across teams, mentor QA engineers, integrate testing in CI/CD.

The QA Manager will coordinate QA activities, manage relationships with clients, lead a distributed QA team, and drive automation and quality strategies.

As a QA Engineer, you'll validate AI applications, manage test data, develop test strategies, and ensure quality performance of AI systems.